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Accuracy of Tau Positron Emission Tomography as a Prognostic Marker in Preclinical and Prodromal Alzheimer Disease: A Head-to-Head Comparison Against Amyloid Positron Emission Tomography and Magnetic Resonance Imaging

IMPORTANCE: Tau positron emission tomography (PET) tracers have proven useful for the differential diagnosis of dementia, but their utility for predicting cognitive change is unclear. OBJECTIVE: To examine the prognostic accuracy of baseline fluorine 18 ((18)F)–flortaucipir and [(18)F]RO948 (tau) PE...

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Autores principales: Ossenkoppele, Rik, Smith, Ruben, Mattsson-Carlgren, Niklas, Groot, Colin, Leuzy, Antoine, Strandberg, Olof, Palmqvist, Sebastian, Olsson, Tomas, Jögi, Jonas, Stormrud, Erik, Cho, Hanna, Ryu, Young Hoon, Choi, Jae Yong, Boxer, Adam L., Gorno-Tempini, Maria L., Miller, Bruce L., Soleimani-Meigooni, David, Iaccarino, Leonardo, La Joie, Renaud, Baker, Suzanne, Borroni, Edilio, Klein, Gregory, Pontecorvo, Michael J., Devous, Michael D., Jagust, William J., Lyoo, Chul Hyoung, Rabinovici, Gil D., Hansson, Oskar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240013/
https://www.ncbi.nlm.nih.gov/pubmed/34180956
http://dx.doi.org/10.1001/jamaneurol.2021.1858
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author Ossenkoppele, Rik
Smith, Ruben
Mattsson-Carlgren, Niklas
Groot, Colin
Leuzy, Antoine
Strandberg, Olof
Palmqvist, Sebastian
Olsson, Tomas
Jögi, Jonas
Stormrud, Erik
Cho, Hanna
Ryu, Young Hoon
Choi, Jae Yong
Boxer, Adam L.
Gorno-Tempini, Maria L.
Miller, Bruce L.
Soleimani-Meigooni, David
Iaccarino, Leonardo
La Joie, Renaud
Baker, Suzanne
Borroni, Edilio
Klein, Gregory
Pontecorvo, Michael J.
Devous, Michael D.
Jagust, William J.
Lyoo, Chul Hyoung
Rabinovici, Gil D.
Hansson, Oskar
author_facet Ossenkoppele, Rik
Smith, Ruben
Mattsson-Carlgren, Niklas
Groot, Colin
Leuzy, Antoine
Strandberg, Olof
Palmqvist, Sebastian
Olsson, Tomas
Jögi, Jonas
Stormrud, Erik
Cho, Hanna
Ryu, Young Hoon
Choi, Jae Yong
Boxer, Adam L.
Gorno-Tempini, Maria L.
Miller, Bruce L.
Soleimani-Meigooni, David
Iaccarino, Leonardo
La Joie, Renaud
Baker, Suzanne
Borroni, Edilio
Klein, Gregory
Pontecorvo, Michael J.
Devous, Michael D.
Jagust, William J.
Lyoo, Chul Hyoung
Rabinovici, Gil D.
Hansson, Oskar
author_sort Ossenkoppele, Rik
collection PubMed
description IMPORTANCE: Tau positron emission tomography (PET) tracers have proven useful for the differential diagnosis of dementia, but their utility for predicting cognitive change is unclear. OBJECTIVE: To examine the prognostic accuracy of baseline fluorine 18 ((18)F)–flortaucipir and [(18)F]RO948 (tau) PET in individuals across the Alzheimer disease (AD) clinical spectrum and to perform a head-to-head comparison against established magnetic resonance imaging (MRI) and amyloid PET markers. DESIGN, SETTING, AND PARTICIPANTS: This prognostic study collected data from 8 cohorts in South Korea, Sweden, and the US from June 1, 2014, to February 28, 2021, with a mean (SD) follow-up of 1.9 (0.8) years. A total of 1431 participants were recruited from memory clinics, clinical trials, or cohort studies; 673 were cognitively unimpaired (CU group; 253 [37.6%] positive for amyloid-β [Aβ]), 443 had mild cognitive impairment (MCI group; 271 [61.2%] positive for Aβ), and 315 had a clinical diagnosis of AD dementia (315 [100%] positive for Aβ). EXPOSURES: [(18)F]Flortaucipir PET in the discovery cohort (n = 1135) or [(18)F]RO948 PET in the replication cohort (n = 296), T1-weighted MRI (n = 1431), and amyloid PET (n = 1329) at baseline and repeated Mini-Mental State Examination (MMSE) evaluation. MAIN OUTCOMES AND MEASURES: Baseline [(18)F]flortaucipir/[(18)F]RO948 PET retention within a temporal region of interest, MRI-based AD-signature cortical thickness, and amyloid PET Centiloids were used to predict changes in MMSE using linear mixed-effects models adjusted for age, sex, education, and cohort. Mediation/interaction analyses tested whether associations between baseline tau PET and cognitive change were mediated by baseline MRI measures and whether age, sex, and APOE genotype modified these associations. RESULTS: Among 1431 participants, the mean (SD) age was 71.2 (8.8) years; 751 (52.5%) were male. Findings for [(18)F]flortaucipir PET predicted longitudinal changes in MMSE, and effect sizes were stronger than for AD-signature cortical thickness and amyloid PET across all participants (R(2), 0.35 [tau PET] vs 0.24 [MRI] vs 0.17 [amyloid PET]; P < .001, bootstrapped for difference) in the Aβ-positive MCI group (R(2), 0.25 [tau PET] vs 0.15 [MRI] vs 0.07 [amyloid PET]; P < .001, bootstrapped for difference) and in the Aβ-positive CU group (R(2), 0.16 [tau PET] vs 0.08 [MRI] vs 0.08 [amyloid PET]; P < .001, bootstrapped for difference). These findings were replicated in the [(18)F]RO948 PET cohort. MRI mediated the association between [(18)F]flortaucipir PET and MMSE in the groups with AD dementia (33.4% [95% CI, 15.5%-60.0%] of the total effect) and Aβ-positive MCI (13.6% [95% CI, 0.0%-28.0%] of the total effect), but not the Aβ-positive CU group (3.7% [95% CI, −17.5% to 39.0%]; P = .71). Age (t = −2.28; P = .02), but not sex (t = 0.92; P = .36) or APOE genotype (t = 1.06; P = .29) modified the association between baseline [(18)F]flortaucipir PET and cognitive change, such that older individuals showed faster cognitive decline at similar tau PET levels. CONCLUSIONS AND RELEVANCE: The findings of this prognostic study suggest that tau PET is a promising tool for predicting cognitive change that is superior to amyloid PET and MRI and may support the prognostic process in preclinical and prodromal stages of AD.
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spelling pubmed-82400132021-07-13 Accuracy of Tau Positron Emission Tomography as a Prognostic Marker in Preclinical and Prodromal Alzheimer Disease: A Head-to-Head Comparison Against Amyloid Positron Emission Tomography and Magnetic Resonance Imaging Ossenkoppele, Rik Smith, Ruben Mattsson-Carlgren, Niklas Groot, Colin Leuzy, Antoine Strandberg, Olof Palmqvist, Sebastian Olsson, Tomas Jögi, Jonas Stormrud, Erik Cho, Hanna Ryu, Young Hoon Choi, Jae Yong Boxer, Adam L. Gorno-Tempini, Maria L. Miller, Bruce L. Soleimani-Meigooni, David Iaccarino, Leonardo La Joie, Renaud Baker, Suzanne Borroni, Edilio Klein, Gregory Pontecorvo, Michael J. Devous, Michael D. Jagust, William J. Lyoo, Chul Hyoung Rabinovici, Gil D. Hansson, Oskar JAMA Neurol Original Investigation IMPORTANCE: Tau positron emission tomography (PET) tracers have proven useful for the differential diagnosis of dementia, but their utility for predicting cognitive change is unclear. OBJECTIVE: To examine the prognostic accuracy of baseline fluorine 18 ((18)F)–flortaucipir and [(18)F]RO948 (tau) PET in individuals across the Alzheimer disease (AD) clinical spectrum and to perform a head-to-head comparison against established magnetic resonance imaging (MRI) and amyloid PET markers. DESIGN, SETTING, AND PARTICIPANTS: This prognostic study collected data from 8 cohorts in South Korea, Sweden, and the US from June 1, 2014, to February 28, 2021, with a mean (SD) follow-up of 1.9 (0.8) years. A total of 1431 participants were recruited from memory clinics, clinical trials, or cohort studies; 673 were cognitively unimpaired (CU group; 253 [37.6%] positive for amyloid-β [Aβ]), 443 had mild cognitive impairment (MCI group; 271 [61.2%] positive for Aβ), and 315 had a clinical diagnosis of AD dementia (315 [100%] positive for Aβ). EXPOSURES: [(18)F]Flortaucipir PET in the discovery cohort (n = 1135) or [(18)F]RO948 PET in the replication cohort (n = 296), T1-weighted MRI (n = 1431), and amyloid PET (n = 1329) at baseline and repeated Mini-Mental State Examination (MMSE) evaluation. MAIN OUTCOMES AND MEASURES: Baseline [(18)F]flortaucipir/[(18)F]RO948 PET retention within a temporal region of interest, MRI-based AD-signature cortical thickness, and amyloid PET Centiloids were used to predict changes in MMSE using linear mixed-effects models adjusted for age, sex, education, and cohort. Mediation/interaction analyses tested whether associations between baseline tau PET and cognitive change were mediated by baseline MRI measures and whether age, sex, and APOE genotype modified these associations. RESULTS: Among 1431 participants, the mean (SD) age was 71.2 (8.8) years; 751 (52.5%) were male. Findings for [(18)F]flortaucipir PET predicted longitudinal changes in MMSE, and effect sizes were stronger than for AD-signature cortical thickness and amyloid PET across all participants (R(2), 0.35 [tau PET] vs 0.24 [MRI] vs 0.17 [amyloid PET]; P < .001, bootstrapped for difference) in the Aβ-positive MCI group (R(2), 0.25 [tau PET] vs 0.15 [MRI] vs 0.07 [amyloid PET]; P < .001, bootstrapped for difference) and in the Aβ-positive CU group (R(2), 0.16 [tau PET] vs 0.08 [MRI] vs 0.08 [amyloid PET]; P < .001, bootstrapped for difference). These findings were replicated in the [(18)F]RO948 PET cohort. MRI mediated the association between [(18)F]flortaucipir PET and MMSE in the groups with AD dementia (33.4% [95% CI, 15.5%-60.0%] of the total effect) and Aβ-positive MCI (13.6% [95% CI, 0.0%-28.0%] of the total effect), but not the Aβ-positive CU group (3.7% [95% CI, −17.5% to 39.0%]; P = .71). Age (t = −2.28; P = .02), but not sex (t = 0.92; P = .36) or APOE genotype (t = 1.06; P = .29) modified the association between baseline [(18)F]flortaucipir PET and cognitive change, such that older individuals showed faster cognitive decline at similar tau PET levels. CONCLUSIONS AND RELEVANCE: The findings of this prognostic study suggest that tau PET is a promising tool for predicting cognitive change that is superior to amyloid PET and MRI and may support the prognostic process in preclinical and prodromal stages of AD. American Medical Association 2021-06-28 2021-08 /pmc/articles/PMC8240013/ /pubmed/34180956 http://dx.doi.org/10.1001/jamaneurol.2021.1858 Text en Copyright 2021 Ossenkoppele R et al. JAMA Neurology. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Ossenkoppele, Rik
Smith, Ruben
Mattsson-Carlgren, Niklas
Groot, Colin
Leuzy, Antoine
Strandberg, Olof
Palmqvist, Sebastian
Olsson, Tomas
Jögi, Jonas
Stormrud, Erik
Cho, Hanna
Ryu, Young Hoon
Choi, Jae Yong
Boxer, Adam L.
Gorno-Tempini, Maria L.
Miller, Bruce L.
Soleimani-Meigooni, David
Iaccarino, Leonardo
La Joie, Renaud
Baker, Suzanne
Borroni, Edilio
Klein, Gregory
Pontecorvo, Michael J.
Devous, Michael D.
Jagust, William J.
Lyoo, Chul Hyoung
Rabinovici, Gil D.
Hansson, Oskar
Accuracy of Tau Positron Emission Tomography as a Prognostic Marker in Preclinical and Prodromal Alzheimer Disease: A Head-to-Head Comparison Against Amyloid Positron Emission Tomography and Magnetic Resonance Imaging
title Accuracy of Tau Positron Emission Tomography as a Prognostic Marker in Preclinical and Prodromal Alzheimer Disease: A Head-to-Head Comparison Against Amyloid Positron Emission Tomography and Magnetic Resonance Imaging
title_full Accuracy of Tau Positron Emission Tomography as a Prognostic Marker in Preclinical and Prodromal Alzheimer Disease: A Head-to-Head Comparison Against Amyloid Positron Emission Tomography and Magnetic Resonance Imaging
title_fullStr Accuracy of Tau Positron Emission Tomography as a Prognostic Marker in Preclinical and Prodromal Alzheimer Disease: A Head-to-Head Comparison Against Amyloid Positron Emission Tomography and Magnetic Resonance Imaging
title_full_unstemmed Accuracy of Tau Positron Emission Tomography as a Prognostic Marker in Preclinical and Prodromal Alzheimer Disease: A Head-to-Head Comparison Against Amyloid Positron Emission Tomography and Magnetic Resonance Imaging
title_short Accuracy of Tau Positron Emission Tomography as a Prognostic Marker in Preclinical and Prodromal Alzheimer Disease: A Head-to-Head Comparison Against Amyloid Positron Emission Tomography and Magnetic Resonance Imaging
title_sort accuracy of tau positron emission tomography as a prognostic marker in preclinical and prodromal alzheimer disease: a head-to-head comparison against amyloid positron emission tomography and magnetic resonance imaging
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240013/
https://www.ncbi.nlm.nih.gov/pubmed/34180956
http://dx.doi.org/10.1001/jamaneurol.2021.1858
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